Sr. Data Engineer

ABOUT US

HirexHire (pronounced hire by hire) is a Chicago-based recruiting and talent consultancy that integrates with companies short-term to provide long-term talent solutions. We take a seat in our client’s everyday operations to understand their people's goals, gaps, and challenges. We then develop and implement the processes and technologies to execute a sustainable and scalable talent plan.

We partner with companies expecting or experiencing high growth who need to hire at scale or fill a critical role rapidly. Our clients are not looking for quick-fix placements but are thoughtfully building a hiring strategy to scale their businesses.

OUR CLIENT

Location: Chicago, IL HQ (hybrid)

Industry:Healthcare Technology (SaaS)

Company Size: 50+

What They Do: Our client is a cloud-based software platform and patient engagement technology that automates the collection of patient reported outcomes. It also offers procedure-specific education modules to help prepare patients for treatments and proactively monitors their recovery.

Contact HirexHire for more client information

THE ROLE

As a core member of the Data Engineering department, the Sr Data Engineer will be in a dynamic environment that works cross-functionally with all other departments, such as Engineering, Product, Customer Success, and Marketing. You will work on a broad array of problems that rely on data to derive insights for our client's business and customers. They heavily value diligence, curiosity, and initiative, which are key to unlocking the value of our client's data for their users and decision-making. Your work will be impactful across the entire organization.

This role is fully remote.

WHAT YOU WILL DO

• Clean and process large, complex datasets using tools such as SQL and Python.
• Migrate client data into PatientIQ's platform per established service level agreements (SLA).
• Develop rigorous data quality assurance checks throughout the ETL process.
• Design, develop, maintain, and streamline scalable data pipelines to support healthcare data analysis.
• Work closely with data analysts to understand their data needs and develop solutions to meet those needs.
• Monitor and optimize the performance of data pipelines and systems.
• Collaborate with other teams to integrate data from multiple sources.

WHAT YOU WILL NEED

• BS/MS in Computer Science, Engineering, Mathematics, or a related field.
• 4+ years of experience as a Data Engineer.
• Experience designing, building, and maintaining ETL infrastructure in a production setting.
• Experience working with large, complex datasets.
• Deep knowledge of SQL and at least one programming language (e.g., Python, Java, Ruby, etc.).
• Experience with version control systems (e.g., Git) and writing reusable and extensible code.
• Highly self-motivated with strong analytical problem-solving skills and attention to detail.

NICE TO HAVE

• Experience working in Healthcare, Finance, or another regulated industry.
• Experience with workflow management systems such as Airflow.
• Experience with data transformation tools like dbt.
• Experience in machine learning and/or business intelligence.
• Experience with cloud technologies such as AWS, Google Cloud Platform, or Azure.

WHAT OUR CLIENT OFFERS YOU

• Great Benefits - top-notch health, dental and vision insurance. Additional perks available including 401K.
• Mission Driven - our client's team is motivated to solve complex problems, drive medicine forward, and ultimately improve patient outcomes.
• True Idea Meritocracy - great ideas win out. Our client encourages all team members to challenge the status quo because their mission demands this.
• Flexible Time Off - our client trusts you to take the time you need when you feel it is appropriate, given your workload and responsibilities. No need to track it or save up.
• World-Class Team - our client is at the top of their industry because of their employees. They’re the best investment they can make, and they never forget that.
• Fast Growing - our client is building the largest platform for healthcare providers, industry partners, researchers, and others to collaborate on the mission to improve patient outcomes.

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Last updated on Aug 28, 2024